北京航空航天大学学报(社会科学版) ›› 2018, Vol. 31 ›› Issue (3): 61-69.DOI: 10.13766/j.bhsk.1008-2204.2016.0227

• 经济与管理 • 上一篇    下一篇

基于DEA的中国旅游业各区域效率差异评价

梁楠楠1, 王贤梅2   

  1. 1. 中国科学技术大学 管理学院, 安徽 合肥 230026;
    2. 东南大学 经济管理学院, 江苏 南京 210016
  • 收稿日期:2016-06-14 出版日期:2018-05-25 发布日期:2018-05-25
  • 作者简介:梁楠楠(1989-),女,安徽蚌埠人,博士研究生,研究方向为数据包络分析、效率和生产率评价.
  • 基金资助:

    国家旅游局项目(WMYC20151108)

Efficiency Difference Evaluation of Regional Tourism Industry in China: Based on DEA

LIANG Nannan1, WANG Xianmei2   

  1. 1. School of Management, University of Science and Technology of China, Hefei Anhui 230026, China;
    2. School of Economic and Management, Southeast University, Nanjing Jiangsu 210016, China
  • Received:2016-06-14 Online:2018-05-25 Published:2018-05-25

摘要:

在对中国旅游业效率进行研究的同时,考虑了其存在普通投入、普通产出,以及不可任意支配的投入,构建了相应的考虑存在不可支配投入的数据包络分析模型。评价了中国31个省市地区"十一五"期间的旅游业技术效率、纯技术效率及规模效率和不同地区的效率差异。研究发现:全国旅游业总体发展不均衡,且平均效率较低;各地区旅游无效的根源不同,部分来源于纯技术无效,部分来源于规模无效;全国各地区旅游业发展差异随着时间的推移缓慢减小;多数地区的旅游业发展相对平稳,仅个别地区旅游业发展波动较大;东部、中部和西部三大经济区域旅游效率差异明显。

关键词: 旅游效率, 数据包络分析, 不可任意支配, 效率差异, 效率评价

Abstract:

This paper evaluated the efficiency of tourism industry while considering the existence of normal input, normal output and non-discretionary input. The corresponding DEA model was proposed. The technical efficiency, pure technical efficiency and scale efficiency of tourism industry of 31 provinces in China in the period of 11th five year plan were analyzed, and the efficiency difference was compared. Five findings were obtained, the development of each regional tourism industry is unbalanced and the mean efficiency is low; the inefficiency sources of each regional tourism industry are different, with some resulting from pure technical inefficiency and the others from scale inefficiency; the difference of tourism industry development in all regions is decreased slowly; while the tourism industry development in most regions are smooth, only individual regions are volatile; the differences of tourism efficiencies of three major economic regions (Eastern, Central and Western) are significant.

Key words: tourism efficiency, data envelopment analysis, non-discretionary, efficiency difference, efficiency evaluation

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